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Structural Road Accident Models

The International DRAG Family

Autor: Sylvain Lassarre, Marc J. I. Gaudry

Limbă:

Legare: Copertă tare

Editura: Emerald Publishing Limited

Disponibilitate: În depozitul extern

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DRAG (from un modele de la Demande Routiere, des Accidents et leur Gravite) is a complex computer mo...

Informații despre carte

Autor

Sylvain Lassarre, Marc J. I. Gaudry

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2000

Pagini

370

EAN

9780080430614

ISBN

0080430619

Enbook ID

04490598

Editura

Emerald Publishing Limited

Greutate

698

Dimensiuni

156 x 234 x 22

Descriere completă

DRAG (from un modele de la Demande Routiere, des Accidents et leur Gravite) is a complex computer model that simulates accident propensities under detailed conditions. The DRAG approach constitutes the largest road accident modelling effort ever undertaken. Gaudry is the creator and developer of DRAG and this work explains its nature, purpose and value. Such a model, which explains accidents for a whole region, province or country, has advantages in answering many questions asked about accidents (such as the role of the economic cycle, weather, prices, insurance etc.) that other models fail to take fully into account. DRAG research is underpinned by a fundamental theoretical innovation which sees a 3-level approach to analysing the determinants of the number of road victims in a given accident: Exposure (the distance travelled), Accident Frequency Risk and Accident Severity Risk (i.e. the number of victims of each type of accident). In applying flexible mathematical forms, the DRAG model also allows significant conceptual and empirical claims to be made about the importance of detecting responses that reverse themselves (to alcohol, and to other factors). Under Gaudry's guidance, a family of DRAG-inspired models has grown up, based on their development for different countries and this book explores each national model in turn. As more countries seek to adopt the DRAG approach, this book serves as a timely, unique and valuable guide to the model.